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Record W1771719881 · doi:10.6000/1927-5129.2015.11.47

Effect of Planting Dates on Growth and Yield of True Potato Seed (TPS) in Nursery Raising Approach

2015· article· en· W1771719881 on OpenAlexvenueno aff
Muhammad Mahamood-ur-Rahman Jamro, Shamsuddin Tunio, U.A. Buriro, Q.D. Chachar

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsnot available
Fundersnot available
KeywordsSowingYield (engineering)GerminationHorticultureBiologyAgronomyMathematicsPhysics

Abstract

fetched live from OpenAlex

To determine the proper planting dates for true potato seed (TPS) nursery, the present study was conducted at Agriculture Research Institute, Tandojam, Pakistan located at 25.24, 46.00,’N and 68.32, 12.00’E during 2009 and 2010. Comparison of three planting dates i.e. October 15, October 30 and November 15, were made. The results obtained from m-2 area showed maximum germination (84.95%), plant height (46.94 cm) average number of micro (1-9 mm) tubers (196.1), small(10-19 mm) tubers (42.15), medium(20-39 mm) tubers (26.56), large(>40 mm) tubers (7.57), weight of micro tubers (1302 g), small tubers (480.3 g), medium tubers (340 g) and large tubers (468.5 g) were observed when TPS-9804 was planted on 30th October. The overall results for tuber yield showed that TPS-9804 genotype planted on 30thOctober produced maximum tuber yield (29.46 t ha1) as compared to rest of genotypes; hence, TPS-9804 genotype is recommended for raising of TPS nursery with 30th October of planting date.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.274
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2015
Admission routes1
Has abstractyes

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